How to Create AI Employees
Start with One, Grow into a Team
You can create AI employees yourself.
The tool you'll use is Claude Code. It's an AI assistant that runs in the terminal (the black screen). Unlike using ChatGPT in a browser, it reads and writes files on your computer, working alongside you.
'I've never used a terminal before'—don't worry. Setup takes about 30 minutes. Follow the steps one by one, and you can get started even without being a programmer.
However, just typing 'You are a sales representative' into ChatGPT won't make it an AI employee. Creating an AI employee requires the right sequence.
5 Elements Every AI Employee Needs
What makes an AI employee different from a regular AI tool is having these five systems in place.
Personality Design (CLAUDE.md)
This is the AI employee's 'resume.' You write down their name, role, personality, and strengths. Claude Code reads this file every time it starts up. With this, the AI doesn't start with 'Nice to meet you' every time—it starts like a colleague who knows their role when they arrive at work. No more thinking up prompts each time.
Memory System (Daily Reports)
AI forgets conversation content when the session ends. Even in long conversations, older parts get erased. By having it write daily reports, you build a relationship where you can 'pick up where yesterday left off.' From one-time chats to continuous partnership. Without a memory system, every morning is 'Nice to meet you.'
Their Own Room (Directory Separation)
Give each AI employee a dedicated folder (workspace). Without this, even if you say 'You're in charge of planning,' they might start modifying website files on their own. It's the same logic as separating departments in a company. By clarifying their scope, they stop doing things they shouldn't.
Division of Labor
If you make one AI employee handle planning, writing, AND proofreading, you'll get writing that's 'technically correct but puts you to sleep.' Planning to the planner, writing to the writer, proofreading to the proofreader. Just like in a human company, assigning work to AI employees based on their strengths dramatically improves quality.
Shortcuts (Custom Commands)
Make daily repeated tasks executable with a single command. Morning startup, daily report logging, work approval—by streamlining these routine tasks, interacting with AI naturally becomes 'part of the workflow.'
Steps to Build
Don't create a large team all at once. The right approach is to grow them step by step.
Set Up the Environment (About 30 min)
First, install Claude Code. All you need is a terminal and an API key. Unlike using AI in a browser, this creates an AI workspace right on your computer. This is the switching point from 'using an AI tool' to 'working with an AI employee.'
Create Your First AI Employee
The first thing to do is decide on a name and role. 'An AI employee who's good at making sales materials, with a careful personality'—write this kind of design in CLAUDE.md. It's like creating a manga character. Decide the inside (role, personality) first, and the appearance follows. Work with your first AI employee and experience what 'working with AI' really means.
Give Them Memory
Once you can work with your first one, add the daily report system. Have them write a report at the end of each session and read it at the start of the next. Just this turns them into a partner who can 'pick up where yesterday left off.'
Create a Second, Separate Their Rooms
Once the first is stable, add an AI employee with a different specialty. The key is separating their rooms (directories). If two operate in the same space, they'll interfere with each other's work. Same as separating departments in a company.
Run Them as a Team
With three or more, assign roles by process. A baton relay approach works well—planning → writing → proofreading, passing deliverables from one process to the next. Real-time group meetings lead to compromises like 'but...' and 'well...' Having them work asynchronously in sequence lets each one perform at 100%. Your role is the 'conductor.' Just set the direction and approve.
Common Failure Patterns
| Failure | Why It Happens | Solution |
|---|---|---|
| Asking one to do everything | The 'AI is omnipotent' assumption | Separate by specialty |
| Not systemizing memory | Forgets when session ends | Keep records with daily reports |
| Not separating rooms | Meddles with other work | Separate directories |
| Starting with appearance | Appearance → personality order stays at avatar level | Role → personality → appearance order |
| Too many at once | Becomes unmanageable | 1 → 2 → 3, step by step |
Take the First Step
For those who want to learn how to create AI employees systematically, we've prepared a hands-on guide. From setting up the environment and naming your first AI employee, all the way to running large projects with a team of five. Learn by doing.
For those who'd rather leave it to the pros, GIZIN supports AI employee team building.